AI In Cybersecurity Use Case #7:

  • 11 July 2019
  • Sam Mire

This interview is part of our new AI in Cybersecurity series, where we interview the world's top thought leaders on the front lines of the intersections between AI and cybersecurity.

In this interview, we speak with Victor Mudretsov, founder and CEO of, to understand how his company is using AI to transform cybersecurity, and what the future of the cybersecurity industry holds.

1. What’s the story behind Why and how did you begin?

VM: was founded in 2015 because of a simple personal problem I had: I was struggling to find a good security camera for my house. Everything I tried just kept sending notifications when nothing happened and I had to wonder, “why aren’t cameras more intelligent than that?” why don’t they give me intelligent feedback on what is happening in my house and manage connected devices accordingly?

After doing some research I became fascinated by the potential of computer vision and deep learning to deliver a user experience that I dreamed about. It turned out that the real bottleneck was the hardware limitations as traditional cameras have not evolved in any significant way from their original versions, the purpose of which was to shoot motion pictures a far cry from the capabilities required by computer vision algorithms to see and understand the world. We originally started developing a consumer product and slowly drifted towards enterprise use cases.

2. Please describe your use case and how uses artificial intelligence:

VM: The computer vision sensor we designed mimics the way humans see, combining peripheral and front vision capabilities to extend the range without compromising the field of view. This breaks the main barrier at the hardware level solving the range versus field of view problem and enables a range of use cases related to advanced video analytics.

There will be applications that will help improve security and efficiency in smart buildings, automating access control, energy management and creating personalized and adaptive environments. Safety can be significantly improved by providing real-time location data for each individual on site, coordinating with emergency services and ensuring fast evacuation and assistance to those who need help. Seamless passenger journey in airports and automation in hospitals are other areas our technology can play a very important role.

3. Could you share a specific customer/user that benefits from what you offer? What has done for them?

VM: Being a startup working on emerging technology, we are in the pilot and beta testing phase and cannot reveal a lot of details about the current projects. We are working on cardless access control for several corporates, which will use biometric identification to enhance security and make the process easier and faster. Among others, automation in the area of public services, assisting providers to deliver better quality and value to taxpayers (is our goal). We will be announcing further details once we are through the trials phase.

About Sam Mire

Sam is a Market Research Analyst at Disruptor Daily. He's a trained journalist with experience in the field of disruptive technology. He’s versed in the impact that blockchain technology is having on industries of today, from healthcare to cannabis. He’s written extensively on the individuals and companies shaping the future of tech, working directly with many of them to advance their vision. Sam is known for writing work that brings value to industry professionals and the generally curious – as well as an occasional smile to the face.